Imaduddeen Khan
See the 15 wins

For store owners, D2C founders & ops heads

Your catalogue, your inbox and your returns desk are eating your margin alive.

Listing 4,000 SKUs, answering 600 'where is my order' messages and processing returns by hand is no longer a competitive moat. Below are the 15 plays I run for retail and e-commerce brands, with the rupees you keep.

₹15.44 L / year saved
For a growing d2c / regional retail brand · math shown below
Calculations are for this size of business
Type
Growing D2C / regional retail brand
Annual turnover
₹2–6 Cr / year
Team size
8–25 people across ops, support and marketing
Locations
1 warehouse, online + 0–3 stores

Bigger setup? Multiply the numbers by your scale (e.g. 3 clinics ≈ 3× savings). Smaller? Divide. The ratio of savings to cost stays the same.

Talk to Imad on WhatsAppSee the 15 automations
Catalog at scaleWISMO botReturns AIReviews & UGCPricing intel
Imad Khan · AI Automation

Built & shipped by Imaduddeen Khan — same engineer behind the heavy-haul AI platform

If this sounds like your week

You don't have a marketing problem. You have a 'too many manual hours per order' problem.

Read it honestly. If even three of these hit, you are bleeding hours and money you will never get back.

Catalog team copy-pasting titles, descriptions, attributes across Amazon, Flipkart, Meesho, Shopify.

"Where is my order?" messages outnumber actual sales conversations 5:1.

Returns and refunds eaten by humans clicking through 4 portals; RTO numbers untracked.

Same product photographed 6 times because nobody can find the original asset.

Reviews and UGC sitting in inboxes — never republished as social proof.

Festival sale planning still done on a 22-tab Excel.

540 hrs
Hours wasted today
team time / month
75 hrs
Hours after AI
466 hrs returned
₹1.29 L
Monthly cost saved
74% reduction
₹15.44 L
Annual savings
compounds every year

The 15 automations

Traditional way → AI way, with the math on the table

Every line below is a real workflow I have built or could ship inside 2–6 weeks. The per-task numbers describe a reference setup at the upper end (busy clinic, full QSR week, etc.) using a loaded labour rate of ₹320/hr. The headline savings of ₹15.44 L/year at the top of the page are these per-task savings scaled down to the growing d2c / regional retail brand described above. If your business is larger, multiply; if smaller, divide.

01 · Catalog

Multi-marketplace product listing & enrichment

Traditional way

Catalog ops writes title, bullets, description, A+ content, attributes per marketplace per SKU.

  • • Time: 22 min × 800 new/refresh SKUs
  • • Volume: ≈ 800 / month
  • • Total: 293 hrs / month
AI way (what I build)

Agent ingests vendor feed + images, generates marketplace-tuned titles, bullets, attributes, A+ HTML; runs SEO check; pushes to channels.

  • • Time: 1 min × 800
  • • Human in loop: Catalog approves drafts
  • • Total: 28 hrs / month
Saves 265 hrs & ₹79,300 every month — (293 hrs × ₹320 → 28 hrs × ₹320 + ₹5,500 tools)
What you'll feel

Listing throughput 10×. New SKUs go live the same week vendors land.

293h
manual / mo
28h
with AI / mo
₹93,760
costs you now
₹79,300
back in your pocket
02 · Imagery

Product photo cleanup, background, lifestyle scenes

Traditional way

Photo studio + designer for white-bg cleanup, marketplace ratios, lifestyle composites.

  • • Time: 8 min × 1,200 images
  • • Volume: ≈ 1,200 / month
  • • Total: 160 hrs / month
AI way (what I build)

Generative pipeline removes bg, generates per-marketplace ratios, drops product into branded lifestyle scenes.

  • • Time: 20 sec × 1,200
  • • Human in loop: Designer approves curated set
  • • Total: 18 hrs / month
Saves 142 hrs & ₹38,940 every month — (160 hrs × ₹320 → 18 hrs × ₹320 + ₹6,500 tools)
What you'll feel

Hero images stop being a bottleneck. CTR on PLP rises noticeably.

160h
manual / mo
18h
with AI / mo
₹51,200
costs you now
₹38,940
back in your pocket
03 · WISMO

Answering "where is my order?" everywhere

Traditional way

Support reps log into Shiprocket / DTDC / Delhivery, copy status, paste back to customer.

  • • Time: 3 min × 200 queries/day
  • • Volume: ≈ 5,000 / month
  • • Total: 250 hrs / month
AI way (what I build)

WA + chat agent reads courier APIs, replies with live tracking, predicts delays, handles change-of-address requests.

  • • Time: instant
  • • Human in loop: Lost packages routed to humans
  • • Total: 28 hrs / month
Saves 222 hrs & ₹66,040 every month — (250 hrs × ₹320 → 28 hrs × ₹320 + ₹5,000 tools)
What you'll feel

Your support team gets to actually sell, not babysit shipments.

250h
manual / mo
28h
with AI / mo
₹80,000
costs you now
₹66,040
back in your pocket
04 · Returns

Returns, refunds & RTO triage

Traditional way

Ops processes return requests, raises pickup, inspects on receipt, refunds — across 5 portals.

  • • Time: 9 min × 60 returns/day
  • • Volume: ≈ 1,500 / month
  • • Total: 225 hrs / month
AI way (what I build)

Agent decides return policy fit, raises pickup, photo-verifies receipt against order, triggers refund.

  • • Time: 30 sec + photo check
  • • Human in loop: Ops resolves disputes only
  • • Total: 30 hrs / month
Saves 195 hrs & ₹57,600 every month — (225 hrs × ₹320 → 30 hrs × ₹320 + ₹4,800 tools)
What you'll feel

Refund TAT drops to 24 hrs. Your CSAT (and Trustpilot rating) climbs.

225h
manual / mo
30h
with AI / mo
₹72,000
costs you now
₹57,600
back in your pocket
05 · Reviews

Review request, response & UGC reuse

Traditional way

Manual emails after delivery, manual replies on marketplaces, designer makes UGC reels manually.

  • • Time: 12 hrs / week
  • • Volume: 4 weeks
  • • Total: 48 hrs / month
AI way (what I build)

Auto WA review request with photo prompt; agent replies thoughtfully on marketplaces; UGC reels auto-templated.

  • • Time: auto
  • • Human in loop: Brand voice approved
  • • Total: 6 hrs / month
Saves 42 hrs & ₹10,440 every month — (48 hrs × ₹320 → 6 hrs × ₹320 + ₹3,000 tools)
What you'll feel

5⭐ ratings climb. Free social proof flows daily.

48h
manual / mo
6h
with AI / mo
₹15,360
costs you now
₹10,440
back in your pocket
06 · Pricing

Competitor & marketplace price monitoring

Traditional way

Junior screenshots competitor pages every Monday; pricing decisions delayed.

  • • Time: 20 hrs / month
  • • Volume: 1,500 SKUs
  • • Total: 20 hrs / month
AI way (what I build)

Scraper monitors prices, MRP, in-stock; pricing engine suggests SKU-level moves with margin guardrails.

  • • Time: auto
  • • Human in loop: Category manager approves
  • • Total: 4 hrs / month
Saves 16 hrs & ₹620 every month — (20 hrs × ₹320 → 4 hrs × ₹320 + ₹4,500 tools)
What you'll feel

You stop being out-priced on hero SKUs. Margin protection on long-tail too.

20h
manual / mo
4h
with AI / mo
₹6,400
costs you now
₹620
back in your pocket
07 · Performance ads

Performance-marketing creative & copy production

Traditional way

Designer + copywriter ship 10 creatives a week per channel; hit rate hard to measure.

  • • Time: 30 hrs / week
  • • Volume: Meta + Google + Amazon
  • • Total: 120 hrs / month
AI way (what I build)

Generative creative engine produces variations from product feed, A/B tags everything, kills losers automatically.

  • • Time: auto
  • • Human in loop: Brand voice review weekly
  • • Total: 18 hrs / month
Saves 102 hrs & ₹25,140 every month — (120 hrs × ₹320 → 18 hrs × ₹320 + ₹7,500 tools)
What you'll feel

ROAS climbs without bigger budget. Designer focuses on brand, not banners.

120h
manual / mo
18h
with AI / mo
₹38,400
costs you now
₹25,140
back in your pocket
08 · Inventory

Demand forecast & PO suggestions

Traditional way

Buyer eyeballs last-month sales, plans buys; over-orders losers, runs out of winners.

  • • Time: 25 hrs / month
  • • Volume: 1,500 SKUs
  • • Total: 25 hrs / month
AI way (what I build)

Forecast model uses sales history, returns, seasonality; drafts PO per vendor with safety stock.

  • • Time: auto
  • • Human in loop: Buyer approves PO
  • • Total: 4 hrs / month
Saves 21 hrs & ₹3,220 every month — (25 hrs × ₹320 → 4 hrs × ₹320 + ₹3,500 tools)
What you'll feel

Stock-outs of bestsellers fall sharply. Cash stops sitting in dead stock.

25h
manual / mo
4h
with AI / mo
₹8,000
costs you now
₹3,220
back in your pocket
09 · Lifecycle

Email & WA lifecycle journeys (cart, win-back)

Traditional way

Marketer sets up sequences manually; segments stale; WA blasts feel spammy.

  • • Time: 30 hrs / month
  • • Volume: 10 active sequences
  • • Total: 30 hrs / month
AI way (what I build)

Agent designs personalised cart-recovery, replenishment, win-back flows with AI-written copy per segment.

  • • Time: auto + monthly review
  • • Human in loop: Marketer approves new flows
  • • Total: 5 hrs / month
Saves 25 hrs & ₹4,000 every month — (30 hrs × ₹320 → 5 hrs × ₹320 + ₹4,000 tools)
What you'll feel

Repeat-purchase rate climbs without adding ad spend.

30h
manual / mo
5h
with AI / mo
₹9,600
costs you now
₹4,000
back in your pocket
10 · Last mile

Courier choice & cost-per-shipment optimisation

Traditional way

Ops manually decides Delhivery vs Shiprocket vs DTDC per pincode based on gut.

  • • Time: 12 hrs / month
  • • Volume: 8,000 shipments
  • • Total: 12 hrs / month
AI way (what I build)

Engine picks courier per pincode using cost, SLA, RTO history; auto-negotiates with rate cards.

  • • Time: auto
  • • Human in loop: Monthly rate review
  • • Total: 2 hrs / month
Saves 10 hrs & ₹700 every month — (12 hrs × ₹320 → 2 hrs × ₹320 + ₹2,500 tools)
What you'll feel

Average cost per shipment drops ₹6–₹14. Multiply by 8k shipments — that's cleaner margin every month.

12h
manual / mo
2h
with AI / mo
₹3,840
costs you now
₹700
back in your pocket
11 · Support

Tier-1 support across email, WA, chat, IG DMs

Traditional way

Agents answer the same 30 questions repeatedly across 6 channels.

  • • Time: 5 min × 220 tickets/day
  • • Volume: ≈ 5,500 / month
  • • Total: 458 hrs / month
AI way (what I build)

Unified inbox with AI agent answering tier-1 fully, drafting tier-2; routes only complex tickets to humans.

  • • Time: auto
  • • Human in loop: Humans only for tier-2/3
  • • Total: 80 hrs / month
Saves 378 hrs & ₹1,12,460 every month — (458 hrs × ₹320 → 80 hrs × ₹320 + ₹8,500 tools)
What you'll feel

First response time drops from 6 hrs to under 60 sec. CSAT jumps.

458h
manual / mo
80h
with AI / mo
₹1,46,560
costs you now
₹1,12,460
back in your pocket
12 · Compliance

GST e-invoicing, e-way bill & marketplace tax sync

Traditional way

Accountant generates IRN, e-way bills, reconciles marketplace TDS / TCS reports each month.

  • • Time: 60 hrs / month
  • • Volume: 8,000 invoices
  • • Total: 60 hrs / month
AI way (what I build)

Workflow auto-generates IRN, e-way bills; reconciles marketplace settlements with bank credits and books.

  • • Time: auto
  • • Human in loop: Accountant signs return
  • • Total: 8 hrs / month
Saves 52 hrs & ₹12,140 every month — (60 hrs × ₹320 → 8 hrs × ₹320 + ₹4,500 tools)
What you'll feel

GSTR-1, 3B and reconciliation stop being a 5-day month-end nightmare.

60h
manual / mo
8h
with AI / mo
₹19,200
costs you now
₹12,140
back in your pocket
13 · Content

SEO blog & category content

Traditional way

Agency writes 8 blogs / month; ranking takes months.

  • • Time: 40 hrs / month
  • • Volume: 8 articles
  • • Total: 40 hrs / month
AI way (what I build)

Pipeline researches keywords, drafts category-led articles, internal-links to PLPs, refreshes old posts on schedule.

  • • Time: auto + 2 hrs review/article
  • • Human in loop: Editor signs every article
  • • Total: 12 hrs / month
Saves 28 hrs & ₹5,460 every month — (40 hrs × ₹320 → 12 hrs × ₹320 + ₹3,500 tools)
What you'll feel

Organic traffic compounds. CAC quietly drops every quarter.

40h
manual / mo
12h
with AI / mo
₹12,800
costs you now
₹5,460
back in your pocket
14 · Influencers

Influencer & creator outreach

Traditional way

Marketing scrapes IG manually, mails 200 creators per launch, replies trickle.

  • • Time: 25 hrs / launch × 4 launches
  • • Volume: yearly
  • • Total: 8 hrs / month
AI way (what I build)

Agent shortlists creators by niche / engagement, sends personalised pitches in your tone, tracks responses, drafts contracts.

  • • Time: auto
  • • Human in loop: Marketing closes deals
  • • Total: 1.5 hrs / month
Saves 6.5 hrs & ₹580 every month — (8 hrs × ₹320 → 1.5 hrs × ₹320 + ₹1,500 tools)
What you'll feel

Your launches finally have UGC ready on day 1.

8h
manual / mo
1.5h
with AI / mo
₹2,560
costs you now
₹580
back in your pocket
15 · Analytics

Daily growth & profitability report

Traditional way

Analyst pulls Shopify, marketplace, Meta, Google data into Sheet daily.

  • • Time: 2 hrs / day × 26
  • • Volume: monthly
  • • Total: 52 hrs / month
AI way (what I build)

Single dashboard with channel mix, contribution margin, RTO drag, return %, ROAS — daily WA digest.

  • • Time: auto
  • • Human in loop: Founder reads & decides
  • • Total: 4 hrs / month
Saves 48 hrs & ₹12,360 every month — (52 hrs × ₹320 → 4 hrs × ₹320 + ₹3,000 tools)
What you'll feel

You stop chasing top-line GMV — you steer net profit.

52h
manual / mo
4h
with AI / mo
₹16,640
costs you now
₹12,360
back in your pocket

The honest math

₹15.44 L back every year.
5589 hours your team gets to live again.

Add a one-time build of ₹1.19 L and a small monthly run-cost of ₹4,860 for tools. Payback shows up in 1 months. Everything after that is profit.

WhatsApp Imad now See Imad's portfolio
One-time build
₹1.19 L
Monthly run-cost
₹4,860
Monthly savings
₹1.29 L
Payback period
1 mo

Why people remember Imad

You'll be hiring an engineer who already shipped this.

The same systems described above — agentic workflows, document extraction, voice agents, secure APIs, deployment — are running today inside a logistics company I built for. Not slides. Production.

Production-grade systems

13 modules, real users, real money flowing through them — see the heavy-haul case study.

Industry-aware design

Workflows are designed around how your domain actually moves, not generic ChatGPT wrappers.

Fast turnaround

First working slice in 7–14 days, full build in 2–6 weeks for most workflows.

Honest pricing

Fixed-scope quotes. You see the calculation, the build cost, and the payback month before signing.

Questions store owners, D2C founders & ops heads actually ask

Frequently asked questions

Q.Which AI tools should a small D2C brand start with?

Start with the highest-volume pain: support tickets and abandoned carts. A WhatsApp + email AI agent that handles 70% of support and recovers carts pays for itself inside a month for most ₹2–5 Cr brands.

Q.Can AI write Amazon and Flipkart listings?

Yes — given your product data and competitor listings, an AI writes A+ content, bullet points, and even keyword-optimised back-end search terms. Human review takes 2 minutes per SKU instead of 30.

Next step is small

Send one WhatsApp. Get a free workflow audit.

I'll look at one painful workflow in your business and tell you, in writing, what it would take to automate it. No deck, no obligation.

WhatsApp +91 91251 97678Back to Imaduddeen Khan's portfolio

Built by Imaduddeen Khan · AI Automation Engineer

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